Abstract
A novel approach using neuronal potential similarity (NPS) of two intracranial electroencephalogram (iEEG) electrodes placed over the foci is proposed for automated early seizure detection in patients with refractory partial epilepsy. The NPS measure is obtained from the spectral analysis of space-differential iEEG signals. Ratio between the NPS values obtained from two specific frequency bands is then investigated as a robust generalized measure, and reveals invaluable information about seizure initiation trends. A threshold-based classifier is subsequently applied on the proposed measure to generate alarms. The performance of the method was evaluated using cross-validation on a large clinical dataset, involving 183 seizure onsets in 1785 h of long-term continuous iEEG recordings of 11 patients. On average, the results show a high sensitivity of 86.9% (159 out of 183), a very low false detection rate of 1.4 per day, and a mean detection latency of 13.1 s from electrographic seizure onsets, while in average preceding clinical onsets by 6.3 s. These high performance results, specifically the short detection latency, coupled with the very low computational cost of the proposed method make it adequate for using in implantable closed-loop seizure suppression systems.
| Original language | English (US) |
|---|---|
| Article number | 1550019 |
| Journal | International journal of neural systems |
| Volume | 25 |
| Issue number | 5 |
| DOIs | |
| State | Published - Aug 19 2015 |
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Keywords
- Epilepsy
- early seizure detection
- neuronal potential similarity
- power spectral density
- responsive neurostimulation
- synchronization
Cite this
Early Seizure Detection Using Neuronal Potential Similarity : A Generalized Low-Complexity and Robust Measure. / Bandarabadi, Mojtaba; Rasekhi, Jalil; Teixeira, Cesar A.; Netoff, Tay I; Parhi, Keshab K; Dourado, Antonio.
In: International journal of neural systems, Vol. 25, No. 5, 1550019, 19.08.2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Early Seizure Detection Using Neuronal Potential Similarity
T2 - A Generalized Low-Complexity and Robust Measure
AU - Bandarabadi, Mojtaba
AU - Rasekhi, Jalil
AU - Teixeira, Cesar A.
AU - Netoff, Tay I
AU - Parhi, Keshab K
AU - Dourado, Antonio
PY - 2015/8/19
Y1 - 2015/8/19
N2 - A novel approach using neuronal potential similarity (NPS) of two intracranial electroencephalogram (iEEG) electrodes placed over the foci is proposed for automated early seizure detection in patients with refractory partial epilepsy. The NPS measure is obtained from the spectral analysis of space-differential iEEG signals. Ratio between the NPS values obtained from two specific frequency bands is then investigated as a robust generalized measure, and reveals invaluable information about seizure initiation trends. A threshold-based classifier is subsequently applied on the proposed measure to generate alarms. The performance of the method was evaluated using cross-validation on a large clinical dataset, involving 183 seizure onsets in 1785 h of long-term continuous iEEG recordings of 11 patients. On average, the results show a high sensitivity of 86.9% (159 out of 183), a very low false detection rate of 1.4 per day, and a mean detection latency of 13.1 s from electrographic seizure onsets, while in average preceding clinical onsets by 6.3 s. These high performance results, specifically the short detection latency, coupled with the very low computational cost of the proposed method make it adequate for using in implantable closed-loop seizure suppression systems.
AB - A novel approach using neuronal potential similarity (NPS) of two intracranial electroencephalogram (iEEG) electrodes placed over the foci is proposed for automated early seizure detection in patients with refractory partial epilepsy. The NPS measure is obtained from the spectral analysis of space-differential iEEG signals. Ratio between the NPS values obtained from two specific frequency bands is then investigated as a robust generalized measure, and reveals invaluable information about seizure initiation trends. A threshold-based classifier is subsequently applied on the proposed measure to generate alarms. The performance of the method was evaluated using cross-validation on a large clinical dataset, involving 183 seizure onsets in 1785 h of long-term continuous iEEG recordings of 11 patients. On average, the results show a high sensitivity of 86.9% (159 out of 183), a very low false detection rate of 1.4 per day, and a mean detection latency of 13.1 s from electrographic seizure onsets, while in average preceding clinical onsets by 6.3 s. These high performance results, specifically the short detection latency, coupled with the very low computational cost of the proposed method make it adequate for using in implantable closed-loop seizure suppression systems.
KW - Epilepsy
KW - early seizure detection
KW - neuronal potential similarity
KW - power spectral density
KW - responsive neurostimulation
KW - synchronization
UR - http://www.scopus.com/inward/record.url?scp=84931574720&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84931574720&partnerID=8YFLogxK
U2 - 10.1142/S0129065715500197
DO - 10.1142/S0129065715500197
M3 - Article
C2 - 25997912
AN - SCOPUS:84931574720
VL - 25
JO - International Journal of Neural Systems
JF - International Journal of Neural Systems
SN - 0129-0657
IS - 5
M1 - 1550019
ER -